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genomics tools in combination with computational biology approaches to generate comprehensive models of gene regulation during development and diseases such as cancer and neurodevelopmental disorders
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techniques. Development of quantitative image analysis to extract dynamic information encoded in single and series of atomic-resolved images of single nanoparticles. Investigation of dynamic processes
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peer-reviewed journals and present at conferences. Actively contribute to the local research environment and engage in teaching as required. Our expectations A PhD in Life Sciences (Computational Biology
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Learning (DL) tools tailored specifically to the particularities of TCR interactions. As part of the Deep Immune Receptor Modeling (DIRM) grant from the NNF Data Science Collaborative Research Programme
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, and Education Sciences: The department encompasses a wide range of research areas, including design research, media studies, education sciences, philosophy, information science, library science
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Job Description If you have a keen interest in computer vision, machine learning, and deep learning, and their application in species identification and automated catch registration
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experts within stem cells, liposome single-particle microscopy and 2-photon microscopy for blood-brain-barrier transport imaging. More information can be found in a brief overview of the research
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bio-technological informatics, metagenomics, epidemiology, integrative systems biology and machine learning. The research at DTU Bioinformatics is focused on bioinformatics and computational analyses